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Reconquer the canvas: beautiful Tikz figures without clunky Tikz code
Transformer based on a variant of attention that is linear complexity in respect to sequence length
Pytorch library for fast transformer implementations
A list of Free Software network services and web applications which can be hosted on your own servers
PyTorch native quantization and sparsity for training and inference
A lightweight Text-to-Image Retrieval model [Web App]
Another email addresses filter; filters out disposable and addresses' alias
A simple and efficient Mamba implementation in pure PyTorch and MLX.
Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
🗺️ Visualize and control algorithms for the traveling salesman problem
DIP is a decomposition-based solver framework for mixed integer linear programs.
Repo du cours d'introduction à l'apprentissage par renforcement.
Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"
Code for the paper "Phasic Policy Gradient"
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton
Hydra is a framework for elegantly configuring complex applications
Attention based model for learning to solve different routing problems
An Open-source Deep Learning Framework for Visual Place Recognition
Library to solve Traveling Salesperson Problems with pure Python code