Apprentissage automatique · GitHub

Monty is a sensorimotor learning framework based on the thousand brains theory of the neocortex.

GeoCode maps 3D shapes to a human-interpretable parameter space, allowing to intuitively edit the recovered 3D shapes from a point cloud or sketch input.

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

An autoML framework & toolkit for machine learning on graphs.

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

Un framework open source pour l’apprentissage par prompts.

• Use the implementations of current prompt-learning approaches.* We have implemented various of prompting methods, including templating, verbalizing and optimization strategies under a unified standard. You can easily call and understand these methods.
• Design your own prompt-learning work. With the extensibility of OpenPrompt, you can quickly practice your prompt-learning ideas.

A list of backdoor learning resources

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Cooking AGI / AGI 大锅烩 · Bilingual (English / 中文) ML & LLM notes with worked examples, step-by-step figures and coding practice. Free to read.

A one-stop library to standardize the inference and evaluation of all the conditional image generation models. [ICLR 2024]

BERT score for text generation

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

This is the Tensorflow implementation of Convolutional Pose Machines, one of the state-of-the-art models for 2D body and hand pose estimation.

• Easy multi-stage graph construction
• Kalman filters for smooth pose estimation

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"