Beast code in Giters

chirs25's starred repositories

P-tuning-v2

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

Language:PythonApache-2.0196800

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

Language:PythonMIT222700

NSP-BERT

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Language:PythonApache-2.022300

ChatGLM-6B

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Language:PythonApache-2.04045900

code2seq

Re-implementation of "CODE2SEQ: GENERATING SEQUENCES FROM STRUCTURED REPRESENTATIONS OF CODE"

Language:Jupyter NotebookMIT4400

code2seq

Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

Language:PythonMIT55200

StructCoder

Code for "StructCoder: Structure-Aware Transformer for Code Generation"

Language:Jupyter NotebookMIT6500

bert

TensorFlow code and pre-trained models for BERT

Language:PythonApache-2.03792400

By the end of this post, you will learn how to: Train a SOTA YOLOv5 model on your own data. Sparsify the model using SparseML quantization aware training, sparse transfer learning, and one-shot quantization. Export the sparsified model and run it using the DeepSparse engine at insane speeds. P/S: The end result - YOLOv5 on CPU at 180+ FPS using on

Language:Jupyter Notebook5400

chirs25

chirs25's starred repositories

P-tuning-v2

mt-dnn

NSP-BERT

ChatGLM-6B

code2seq

code2seq

StructCoder

bert

INQ

yolov5-deepsparse-blogpost

sparseml

few-shot-object-detection

yolov5