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simon-schaefer
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TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
A generative world for general-purpose robotics & embodied AI learning.
A Neovim plugin to format your code using Black
Collection of common code that's shared among different research projects in FAIR computer vision team.
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Visual localization made easy with hloc
A library for efficient similarity search and clustering of dense vectors.
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…
Simple, Elegant, Typed Argument Parsing with argparse
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
dreifus lifts your 3D camera experience and facilitates computer vision applications
CUDA accelerated rasterization of gaussian splatting
[CVPR 2024] DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
Fast symbolic computation, code generation, and nonlinear optimization for robotics
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Globally Consistent Probabilistic Human Motion Estimation
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Updated Feb 28, 2023
A free and strong UCI chess engine
Fast arbitrary dimension linear interpolation in C++
[CVPR 2023] "PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation" official implementation.
The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
Simple but expressive timing package in Python
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
