Nathaniel Shimoni's repositories
Deep-Learning-in-Hebrew
ספר מלא בעברית בנושאים של למידת מכונה ולמידה עמוקה
dlaicourse
Notebooks for learning deep learning
fastai_docs
Documentation source for fastai (see http://docs.fast.ai for final docs)
fastdup
FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging. FastDup scales to millions of images running on CPU only.
google-research
Google Research
kaggledays-2019-gbdt
Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
kbc-python
kbc-python-basic-training
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
MetaGPT
🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
ml_project_template
a general template for ml projects
nebullvm
Plug and play modules to optimize the performances of your AI systems 🚀
reinforcement-learning-stanford
🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
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.
SelfGPT
A Whatsapp-bot that allows access to GPT3 while also serving as your own memory backup
test_gpu_stack_heating
code to check if 4-gpu stack gets heated
ubuntu18.04.1_install_for_deep_learning
ubuntu18.04_with_cuda_cudnn_tensorflow-gpu_pytorch_and_nvidia_docker2
VideoCrafter
A Toolkit for Text-to-Video Generation and Editing