javaidnabi31's Stars
stas00/ml-engineering
Machine Learning Engineering Open Book
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
TheAlgorithms/Python
All Algorithms implemented in Python
g8a9/ferret
A python package for benchmarking interpretability techniques on Transformers.
dborrelli/chat-intents
Clustering sentence embeddings to extract message intent
PacktPublishing/40-Algorithms-Every-Programmer-Should-Know
40 Algorithms Every Programmer Should Know, published by Packt
JWarmenhoven/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
hardikkamboj/An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
AakashKumarNain/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
sebastianruder/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.
mcleonard/NLG_Autoencoder
Natural Language Generation with a denoising autoencoder
lethienhoa/On-Device-Deep-Learning-and-Natural-Language-Processing-Papers-Reading
robustness-gym/robustness-gym
Robustness Gym is an evaluation toolkit for machine learning.
labmlai/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, ... 🧠
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
fastai/numerical-linear-algebra-v2
Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
fastai/course-nlp
A Code-First Introduction to NLP course
ewolff/microservice
Sample of a Microservice setup for my book. Based on Spring Cloud / Netflix / Java / Docker / Docker Compose / Docker Machine / Vagrant
mlvu/worksheets
Worksheets to get started with the python software stack
practical-recommender-systems/moviegeek
A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
jcjohnson/pytorch-examples
Simple examples to introduce PyTorch
zihangdai/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
epfml/ML_course
EPFL Machine Learning Course, Fall 2024
likejazz/Siamese-LSTM
Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.
fastai/fastai
The fastai deep learning library