preritt's Stars
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
facebookresearch/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.
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
All-Hands-AI/OpenHands
🙌 OpenHands: Code Less, Make More
doocs/leetcode
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
recommenders-team/recommenders
Best Practices on Recommendation Systems
stitionai/devika
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
BerriAI/litellm
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
run-llama/rags
Build ChatGPT over your data, all with natural language
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
facebookresearch/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
camel-ai/camel
🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org
bnsreenu/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
jupyterlab/jupyter-ai
A generative AI extension for JupyterLab
crewAIInc/crewAI-examples
A collection of examples that show how to use CrewAI framework to automate workflows.
truera/trulens
Evaluation and Tracking for LLM Experiments
dome272/Diffusion-Models-pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
fastai/diffusion-nbs
Getting started with diffusion
jwangjie/Gaussian-Process-Regression-Tutorial
An Intuitive Tutorial to Gaussian Processes Regression
fastai/course22p2
course.fast.ai 2022 part 2
potsawee/selfcheckgpt
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Holmeswww/AgentKit
An intuitive LLM prompting framework for multifunctional agents, by explicitly constructing a complex "thought process" from simple natural language prompts.
vandijklab/BrainLM
neo4j-graphacademy/llm-fundamentals
https://graphacademy.neo4j.com/courses/llm-fundamentals/
ArslanKAS/Quality-and-Safety-for-LLM-Applications
Explore new metrics and best practices to monitor your LLM systems and ensure safety and quality
preritt/IndicBERT
Pretraining, fine-tuning and evaluation scripts for IndicBERT-v2 and IndicXTREME