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Awesome-LLM: a curated list of Large Language Model
This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]
Refine high-quality datasets and visual AI models
Project Page for "LISA: Reasoning Segmentation via Large Language Model"
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL…
The simplest, fastest repository for training/finetuning medium-sized GPTs.
🦜🔗 The platform for reliable agents.
The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Graph Neural Network Library for PyTorch
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
Jupyter notebooks for pyspark tutorials given at University
Updated exercises for Essential Scala
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
State of the Art Natural Language Processing
Distributed vector search for AI-native applications
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Automatically create Faiss knn indices with the most optimal similarity search parameters.
Top2Vec learns jointly embedded topic, document and word vectors.
Introduction to Parallel Programming class code
Repo for the Deep Learning Nanodegree Foundations program.
Tutorials and my solutions to the Udacity NLP Nanodegree
Build An Alexa Fact Skill
Code examples in pyTorch and Tensorflow for CS230
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Course notebooks for GANs specializations
A resource for learning about Machine learning & Deep Learning
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution