Lilian

lmms-eval. One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks

Awesome-ML-SYS-Tutorial. My learning notes for ML SYS.

gpt-engineer. CLI platform to experiment with codegen. Precursor to: https://lovable.dev

invisible-watermark. python library for invisible image watermark (blind image watermark)

AutoGPT. AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Prompt-Engineering-Guide. 🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

fairseq. Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

google-research. Google Research

robustness-gym. Robustness Gym is an evaluation toolkit for machine learning.

hnswlib. Header-only C++/python library for fast approximate nearest neighbors

vald. Vald. A Highly Scalable Distributed Vector Search Engine

faiss. A library for efficient similarity search and clustering of dense vectors.

uid-decoding. Python

List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words. List of Dirty, Naughty, Obscene, and Otherwise Bad Words

kenlm. KenLM: Faster and Smaller Language Model Queries

kornia. 🐍 Geometric Computer Vision Library for Spatial AI

NLP-progress. Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

DPR. Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

mathematics_dataset. This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.

deepmind-research. This repository contains implementations and illustrative code to accompany DeepMind publications

minGPT. A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

dm_control. Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

rlax. Python

gym-maze. A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.

examples. A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

clip-as-service. 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

trimesh. Python library for loading and using triangular meshes.

bbox. Python library for 2D/3D bounding boxes

sr-config. Config files for the Shadow Robot stacks

sr_interface. Shadow Robot Interface packages

awesome-self-supervised-learning. A curated list of awesome self-supervised methods

natural-adv-examples. A Harder ImageNet Test Set (CVPR 2021)

pba. Efficient Learning of Augmentation Policy Schedules

awesome-domain-adaptation. A collection of AWESOME things about domain adaptation

probability. Probabilistic reasoning and statistical analysis in TensorFlow

MT-Reading-List. A machine translation reading list maintained by Tsinghua Natural Language Processing Group

neural-architecture-search. Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

ncluster. Python

lucid. A collection of infrastructure and tools for research in neural network interpretability.

tf-gqn. Tensorflow implementation of Neural Scene Representation and Rendering

reinforcement-learning. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

variational-autoencoder. Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

tf_mesh_renderer. A differentiable, 3D mesh renderer using TensorFlow.

models. Models and examples built with TensorFlow

mpi4py. Python bindings for MPI

tensor2tensor. Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

glow. Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

sprites. Repository containing many Pokémon sprites

dnc. A TensorFlow implementation of the Differentiable Neural Computer.

fashion-mnist. A MNIST-like fashion product database. Benchmark :point_down:

DQN-tensorflow. Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

visual-semantic-embedding. Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"

mujoco-py. MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

xgboost. Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

hyperopt. Distributed Asynchronous Hyperparameter Optimization in Python

spearmint. Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

chainer-gan-lib. Chainer implementation of recent GAN variants

tf-SNDCGAN. Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

batch-ppo. Efficient Batched Reinforcement Learning in TensorFlow

StackNet. StackNet is a computational, scalable and analytical Meta modelling framework

cleverhans. An adversarial example library for constructing attacks, building defenses, and benchmarking both

tf-wgan. Wasserstein DCGAN in Tensorflow/Keras

WGAN-tensorflow. a tensorflow implementation of WGAN

wgan. Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

nba_py. Python client for NBA statistics located at stats.nba.com

awesome-tensorflow. TensorFlow - A curated list of dedicated resources http://tensorflow.org

improved-gan. Code for the paper "Improved Techniques for Training GANs"

DCGAN-tensorflow. A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

facets. Visualizations for machine learning datasets

Aerial. Apple TV Aerial Screensaver for Mac

baselines. OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Ella. Self-improving decision organism

tpot. A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

awesome-deep-learning-papers. The most cited deep learning papers

ganhacks. starter from "How to Train a GAN?" at NIPS2016

pytorch-playground. Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

LightGBM. A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

git-remote-dropbox. A transparent bridge between Git and Dropbox - use a Dropbox (shared) folder as a Git remote! 🎁

tufte-css. Style your webpage like Edward Tufte’s handouts.

MacGap1. Desktop WebKit wrapper for HTML/CSS/JS applications.

datasharing. The Leek group guide to data sharing

ten-rules. Ten simple rules for better figures

pyxl. A Python extension for writing structured and reusable inline HTML.

pycluster. Python Clustering

university-email-domains. Domains used for university-issued email addresses

d3. Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

ggpy. ggplot port for python

BagSaleDetector. Handbag Sale Detector

BlankTabMultivariateTestAddon. The merged add-on of new tab page with multiple designs, used for firefox testpilot study