Shreyansh Gupta's starred repositories
OpenVoiceChat
Have a natural voice conversation with an LLM
python-foauth2
A barely tested lightweight implementation of OAuth 2.0 "Bearer Token"
nn-zero-to-hero
Neural Networks: Zero to Hero
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
broadcaster
Broadcast channels for async web apps. 📢
ml_in_production
A set of demo of deploying a Machine Learning Model in production using various methods
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
word2vec-pytorch
Implementation of the first paper on word2vec
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Two-Layer-Hierarchical-Softmax-PyTorch
Two-Layer Hierarchical Softmax Implementation for PyTorch
qBittorrent
qBittorrent BitTorrent client
pytorch-apple-silicon
Setup PyTorch on Mac/Apple Silicon plus a few benchmarks.
Parrot_Paraphraser
A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
clean-code-python
:bathtub: Clean Code concepts adapted for Python
IPL-Dashboard
IPL Dashboard is a dashboard display amazing statistical and not statistical facts, trivia, and visualization for IPL.
alive-progress
A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
CrackSegmentationDeepLearning
Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method obtained SOTA results on Crack500 dataset
Explainable_Image_Caption_bot
Explainable Image Caption Bot: Gives captions for images with explanations for each word in the caption (The part of the image where the AI model looks to generate a word). Uses Seq-to-Seq with attention model