shivanshupurohit Goto Github PK

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bert-based-keyword-extraction

Keyword extraction system based on BERT

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

clip

CLIP implementation inspired by Openai's CLIP

collaborative-competitive-rl

Teaching two AI agents to collaborate and compete to play a tennis game for as long as possible

continuous-control-using-ddpg

Presenting the ability of Deep Deterministic Policy Gradient (DDPG) in solving model-free RL environments

coursera-deep-learning-specialization

A repository of my submissions for the 5 course specialization on Deep Learning by deeplearning.ai

cricket

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepspeed

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

diffusion

A simple diffusion model

discordgpt-3

OpenAI api integration for a discord bot with completion and q&a functionality.

docker-image

Docker image that enables EFA and works with gpt-neox

easylm

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

email-extraction

examples

Fast and flexible reference benchmarks

fast.ai_notes

:notebook: Notes for fast.ai courses: intro to ML, Practical DL and Cutting edge DL.

fastmoe

A fast MoE impl for PyTorch

generative-models

Implementing various generative models like GANs/VAEs etc

gpt-neo-visual-grounding

Visually ground GPT-Neo 1.3b and 2.7b

gpt-neox

An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.

image-captioning

lm-debugger

The official code of LM-Debugger, an interactive tool for inspection and intervention in transformer-based language models.

megatron-lm

Ongoing research training transformer language models at scale, including: BERT & GPT-2

models

A collection of pre-trained, state-of-the-art models in the ONNX format

navigation-using-rl

Using Q-Learning to navigate in a continuous state space

practice-models

A repository of some deep learning algorithms I made for practice

rl

Random RL code implementations throughout my reading of Reinforcement Learning book by Sutton and Barto

self-attention-experiments-vision

A project about replicating, evaluating and scaling up self-attention based models in vision.