This is your work, valued

127.0.0.1

abhishek thakur

Elite
@abhishekkrthakur

i build stuff

approachingalmost. Approaching (Almost) Any Machine Learning Problem

8.4k

colabcode. Run VSCode (codeserver) on Google Colab or Kaggle Notebooks

2.2k

tez. Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

1.2k

autoxgb. XGBoost + Optuna

727

diffuzers. a web ui & api for 🤗 diffusers

595

is_that_a_duplicate_quora_question. Python

439

aiaio. lightweight, python based chat ui

340

bert-sentiment. Python

270

how-to-become-a-ds-in-30-days. How to become a data scientist in 30 days

207

mlframework. Python

200

clickbaits_revisited. Deep learning models to identify clickbaits taking content into consideration

169

long-text-token-classification. Python

160

chat-ext. chrome & firefox extension to chat with webpages: local llms

131

bert-entity-extraction. Python

125

greedyFeatureSelection. greedy feature selection based on ROC AUC

125

StableSAM.

101

captcha-recognition-pytorch. Python

63

sandesh. A simple app to send messages to Slack channels / members using webhook

55

ml_dev_env. Machine Learning / Deep Learning Environment. Everywhere. Anywhere.

50

commonlit-pairwise-model. Pairwise model for commonlit competition

46

e01. Python

38

melanoma-deep-learning. JavaScript

37

chaii-hindi-tamil-question-answering. chaii: hindi and tamil question answering

34

bert-tweet-sentiment. Python

32

generative-ai-for-beginners. 18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

30

walmart2015. Python

26

csv_test.

26

automl_gpu. Python

25

AutoML. Python

24

imet-collection. Python

23

anime_hentai. Distinguishing between anime and hentai

16

transformers. 🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

10

awesome-llms-fine-tuning. Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!

10

LLM-engineer-handbook. A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.

10

abhishekkrthakur.

9

competitions-template.

8

kaggle. Python

8

LCE. Local Collective Embeddings. Python translation of https://github.com/msaveski/LCE

7

ApproachingAlmostNLP.

7

movie_recommender.

6

moa-kaggle.

6

naivebees. Python

5

imagededup. 😎 Finding duplicate images made easy!

5

tokenizers. 💥Fast State-of-the-Art Tokenizers optimized for Research and Production

5

av_minihack. Python

5

pneumothorax-segmentation. SIIM-ACR Pneumothorax Segmentation first place solution

4

aaamlp_figures.

4

scikit-learn. scikit-learn: machine learning in Python

4

knockknock. 🚪✊Knock Knock: Be notified when your training ends with only two additional lines of code

4

images.

2

kaggle-afsis. Beating the Benchmark in Kaggle Afsis challenge

1

fast-rcnn. Fast R-CNN

1

EMC. em clustering

1