John Olafenwa

tiny-code. A minimal coding agent implementation in Python and Typescript for educational purposes.

BrilliantCode. Autonomous AI engineer for building production grade software

GenAI-Courses. A collection of courses on different topics in Generative AI.

ml-inference. ML Inference Processor

llm.c. LLM training in simple, raw C/CUDA

BUKOLA-PROJECTS. Bukola's Project Profile

TheiaEngine. All in one API to serve all Vision AI task

ChatLM. The github repository of ChatLM.

Udacity-Data-Analyst-Nanodegree-Projects. Jupyter Notebook

annotated_deep_learning_paper_implementations. 🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

imaginaire. NVIDIA's Deep Imagination Team's PyTorch Library

deepstack_licenceplate_model. Deepstack Licence Plate Model

scenepic. Powerful, easy to use, and portable visualization toolkit for mixed 3D and 2D content

ceres_example. An example repository providing example code for using Ceres

libnpy. Multi-platform C++ library for reading and writing NPY and NPZ files, with an additional .NET interface

pyk4a. Python 3 wrapper for Azure-Kinect-Sensor-SDK

node-deepstackai-trigger. Detects motion using Deepstack AI and calls registered triggers based on trigger rules.

tensorrtx. Implementation of popular deep learning networks with TensorRT network definition API

DirectML. ⚠️DirectML is in maintenance mode ⚠️ DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.

tensorflow-directml. Fork of TensorFlow accelerated by DirectML

pytorch-YOLOv4. PyTorch ,ONNX and TensorRT implementation of YOLOv4

llvm-project. The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

pytorch-lightning. Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

detr. End-to-End Object Detection with Transformers

PixelLib. Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

DeepSpeed. DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

HugeJsonViewer. Viewer for JSON files that can be GBs large.

pointnet. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

3D-Machine-Learning. A resource repository for 3D machine learning

meshrcnn. code for Mesh R-CNN, ICCV 2019

cocoapi. Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

TensorFlow2.0-Examples. 🙄 Difficult algorithm, Simple code.

UGATIT-pytorch. Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

instagan. InstaGAN: Instance-aware Image Translation (ICLR 2019)

learn-go-with-tests. Learn Go with test-driven development

orangelib. Official github repository of Orangelib. Orangelib is a library for classifying fruits.

joeynmt. Minimalist NMT for educational purposes

rudr. A Kubernetes implementation of the Open Application Model specification

Traffic-Net. A dataset of traffic, fire and accident images for training deep learning models.

TorchFusion-Utils. A pytorch helper library for Mixed Precision Training, Initialization, Metrics and More Utilities to simplify training of deep learning models

Deep-Reinforcement-Learning-Algorithms-with-PyTorch. PyTorch implementations of deep reinforcement learning algorithms and environments

LibNet. Deep Neural Network algorithms library for c++ from scratch

gandissect. Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

IdenProf. IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

ImageAI. A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

TorchFusion. A modern deep learning framework built to accelerate research and development of AI systems

rllab. rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

FastNet. Official Repository for FastNet, An Efficient Convolutional Neural Network Architecture, highly optimized for Smart Devices.

DCGAN-keras. Keras implementation of Deep Convolutional Generative Adversarial Networks, code run base on tensorflow or theano

reinforcement-learning-an-introduction. Python implementation of Reinforcement Learning: An Introduction