Sagar pallai's starred repositories
nn-zero-to-hero
Neural Networks: Zero to Hero
parler-tts
Inference and training library for high-quality TTS models.
transformers.js-examples
A collection of 🤗 Transformers.js demos and example applications
claude-engineer
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. This tool combines the capabilities of a large language model with practical file system operations and web search functionality.
DistillKit
An Open Source Toolkit For LLM Distillation
course22p2
course.fast.ai 2022 part 2
Wuerstchen
Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models
pytorch-stable-diffusion
Stable Diffusion implemented from scratch in PyTorch
open-webui
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
one_pager_resume_template
One Pager/Multiple Pager Resume Template for Software Engineers
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
lobe-chat
🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Azure / DeepSeek), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Vision/TTS) and plugin system. One-click FREE deployment of your private ChatGPT/ Claude application.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
cs224n-win2223
Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
awesome-multimodal-in-medical-imaging
A collection of resources on applications of multi-modal learning in medical imaging.
sillicon-valley-multimodal-chest
This open-source data science project, conducted in collaboration with Omdena. Developing a multimodal AI model that integrates chest X-rays and EHR/clinical data to improve the detection accuracy of pneumonia and tuberculosis. This project leverages advanced machine learning techniques to provide actionable insights for healthcare decision-making.
mlops-zoomcamp
Free MLOps course from DataTalks.Club
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
warsaw-poland-chapter-air-pollution
In this project, we develop a machine-learning model for air-quality prediction in Poland