Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
- machine-learning
- tensorflow
- tensorflow-tutorials
- tensorflow-experiments
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Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
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Repository containing notebooks of my posts on Medium
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Natural Gradient Boosting for Probabilistic Prediction
Python library for interactive topic model visualization. Port of the R LDAvis package.
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Synthetic data generators for tabular and time-series data
Koç University deep learning framework.
Python implementation of CMA-ES
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Instructional notebooks on music information retrieval.
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.
"Neural Turing Machine" in Tensorflow
Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
TensorFlow Implementation of "Show, Attend and Tell"
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Markdown <=> IPython Notebook