charuj

charuj's Stars

• ytdl-org/youtube-dl

  Command-line program to download videos from YouTube.com and other video sites

  Language:Python132k10k

• 1rgs/jsonformer

  A Bulletproof Way to Generate Structured JSON from Language Models

  Language:Jupyter Notebook4.5k156

• Majdoddin/nlp

  Language:Jupyter Notebook45756

• ray-project/llm-numbers

  Numbers every LLM developer should know

  4.1k140

• onlyphantom/llm-python

  Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone

  Language:Jupyter Notebook689267

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++70.7k7.7k

• zylon-ai/private-gpt

  Interact with your documents using the power of GPT, 100% privately, no data leaks

  Language:Python54.2k7.3k

• showlab/Tune-A-Video

  [ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

  Language:Python4.3k385

• AILab-CVC/VideoCrafter

  VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

  Language:Python4.6k339

• kabachuha/sd-webui-text2video

  Auto1111 extension implementing text2video diffusion models (like ModelScope or VideoCrafter) using only Auto1111 webui dependencies

  Language:Python1.3k108

• lucidrains/phenaki-pytorch

  Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch

  Language:Python75279

• huggingface/diffusion-models-class

  Materials for the Hugging Face Diffusion Models Course

  Language:Jupyter Notebook3.7k395

• ShivamShrirao/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

  Language:Python1.9k507

• IBPA/LOVE

  Learning Ontologies Via Embeddings

  Language:Python122

• jjjchens235/leetcode-sql-unlocked

  Through the command line, the user can easily access all ~125 LeetCode SQL/Database questions and automatically generate the tables in db-fiddle.com.

  Language:Python9628

• kdn251/interviews

  Everything you need to know to get the job.

  Language:Java63.6k12.9k

• ymy4323460/HATCH

  Language:Python3710

• Kyubyong/transformer

  A TensorFlow Implementation of the Transformer: Attention Is All You Need

  Language:Python4.3k1.3k

• seanprashad/leetcode-patterns

  A pattern-based approach for learning technical interview questions

  Language:JavaScript10.2k1.8k

• recnac-itna/Algorithm_Templates

  algorithm templates and leetcode examples in Python3, you can learn many python tricks too.

  Language:Python35699

• sdv-dev/CTGAN

  Conditional GAN for generating synthetic tabular data.

  Language:Python1.3k292

• Oracen-zz/MIDAS

  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference

  Language:Python12028

• gevaertlab/DAPL

  Autoencoder network for imputing missing values

  Language:Python268

• Vooban/Autoencoder-TensorBoard-t-SNE

  Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine learning.

  Language:Python7128

• ematvey/tensorflow-seq2seq-tutorials

  Dynamic seq2seq in TensorFlow, step by step

  Language:Jupyter Notebook996374

• iwyoo/LSTM-autoencoder

  TensorFlow LSTM-autoencoder implementation

  Language:Python19357

• yahoo/TensorFlowOnSpark

  TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

  Language:Python3.9k940

• fxia22/pointnet.pytorch

  pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

  Language:Python2.1k632

• charlesq34/pointnet

  PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

  Language:Python4.8k1.5k

• kamyu104/LeetCode

  :pencil: Python / C++ 11 Solutions of All LeetCode Questions

  Language:Python5.7k