8bitmp3

8bitmp3's Stars

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook39k408684.1k

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++17.1k148554992

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.2k985411.1k

• google/sentencepiece

  Unsupervised text tokenizer for Neural Network-based text generation.

  Language:C++10.3k1277511.2k

• ml-explore/mlx-examples

  Examples in the MLX framework

  Language:Python6.2k71495878

• google/gemma.cpp

  lightweight, standalone C++ inference engine for Google's Gemma models.

  Language:C++6k4088509

• google/gemma_pytorch

  The official PyTorch implementation of Google's Gemma models

  Language:Python5.3k3938507

• cbh123/narrator

  David Attenborough narrates your life

  Language:Python4.4k3035534

• google-deepmind/gemma

  Open weights LLM from Google DeepMind.

  Language:Python2.5k3335309

• google-gemini/gemma-cookbook

  A collection of guides and examples for the Gemma open models from Google.

  Language:Jupyter Notebook6511419119

• patrick-kidger/lineax

  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax

  Language:Python356104023

• ossf/malicious-packages

  A repository of reports of malicious packages identified in Open Source package repositories, consumable via the Open Source Vulnerability (OSV) format.

  Language:Go247172023

• mmaitre314/picklescan

  Security scanner detecting Python Pickle files performing suspicious actions

  Language:Python241111125

• google-research/dinosaur

  Language:Jupyter Notebook2117114

• normster/llm_rules

  RuLES: a benchmark for evaluating rule-following in language models

  Language:Python2102315

• astro-informatics/s2fft

  Differentiable and accelerated spherical transforms with JAX

  Language:Python135101309

• sigstore/model-transparency

  Supply chain security for ML

  Language:Python113105529

• mttga/purejaxql

  Simple single-file baselines for Q-Learning in pure-GPU setting

  Language:Python94104

• jax-ml/jax-ai-stack

  Language:Python655312

• microsoft/folx

  Implementation of Forward Laplacian algorithm in JAX

  Language:Python546411

• max-andr/adversarial-random-search-gpt4

  Adversarial Attacks on GPT-4 via Simple Random Search [Dec 2023]

  Language:Jupyter Notebook42301

• Deep-Learning-with-Jax/day_01_exercise_intro

  Exercise on an introduction to the python development framework.

  Language:Python20

• Deep-Learning-with-Jax/day_02_exercise_optimization

  Exercise on gradient descent by hand and via autograd in Jax.

  Language:Python10

• Deep-Learning-with-Jax/day_03_exercise_algebra

  Exercise on basics of algebra, curve fitting and singular value decomposition.

  Language:Python1000

• Deep-Learning-with-Jax/day_04_exercise_statistics

  Exercise on statistics and distributions: mean and variance, correlation, gaussians.

  Language:Python1000

• Deep-Learning-with-Jax/day_05_exercise_neural_networks

  Exercise on the MNIST-data set, artificial neurons, forward and backward pass.

  Language:Python1000

• Deep-Learning-with-Jax/day_06_exercise_cnn

  Exercise on the convolution operation and convolutional neural networks.

  Language:Python1000

• Deep-Learning-with-Jax/day_07_exercise_brain_decode

  Exercise on convolutional neural networks about how use them to decode brain waves.

  Language:Python1000

• Deep-Learning-with-Jax/day_08_exercise_interpretability

  Exercise on interpretability with integrated gradients.

  Language:Python1000

• Deep-Learning-with-Jax/day_09_exercise_sequence_processing

  Exercise on generative language modelling in Jax.

  Language:Python1000