Resources for "Natural Language Processing" Coursera course.
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
Frontier Multimodal Foundation Models for Image and Video Understanding
《AI 研发提效：自己动手训练 LoRA》，包含 Llama （Alpaca LoRA）模型、ChatGLM （ChatGLM Tuning）相关 Lora 的训练。训练内容：用户故事生成、测试代码生成、代码辅助生成、文本转 SQL、文本生成代码……
Contains files related to content and project of DSND Term 2
IPython kernel for Torch with visualization and plotting
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Attempting to make the Deep Learning Book easier to understand.
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
"Neural Turing Machine" in Tensorflow
The Hitchhiker's Guide to Data Science for Social Good
Seminars DeepBayes Summer School 2018
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.