Charles Foster's starred repositories

supervision

We write your reusable computer vision tools. đź’ś

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dspy

DSPy: The framework for programming—not prompting—foundation models

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instructor

structured outputs for llms

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marvin

✨ Build AI interfaces that spark joy

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moondream

tiny vision language model

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Vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

penzai

A JAX research toolkit for building, editing, and visualizing neural networks.

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schedule_free

Schedule-Free Optimization in PyTorch

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gsplat

CUDA accelerated rasterization of gaussian splatting

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punica

Serving multiple LoRA finetuned LLM as one

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flashinfer

FlashInfer: Kernel Library for LLM Serving

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DataDreamer

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

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modal-examples

Examples of programs built using Modal

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attorch

A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.

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crepes

Conformal classifiers, regressors and predictive systems

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fltr

Like grep but for natural language questions. Based on Mistral 7B or Mixtral 8x7B.

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rax

Rax is a Learning-to-Rank library written in JAX.

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einx

Tensor Operations in Einstein-Inspired Notation for Python.

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lightplane

Lightplane implements a highly memory-efficient differentiable radiance field renderer, and a module for unprojecting features from images to 3D grids.

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Score-Entropy-Discrete-Diffusion

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

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rebased

Official implementation of the paper "Linear Transformers with Learnable Kernel Functions are Better In-Context Models"

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hippogriff

Griffin MQA + Hawk Linear RNN Hybrid

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amago

a simple and scalable agent for training adaptive policies with sequence-based RL

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Inflection-Benchmarks

Public Inflection Benchmarks

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LASP

Linear Attention Sequence Parallelism (LASP)

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flashT5

A fast implementation of T5/UL2 in PyTorch using Flash Attention

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