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bio-embeddings-CPCProt

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0.0.1 bio_embeddings_CPCProt-0.0.1-py3-none-any.whl

Wheel Details

Project: bio-embeddings-CPCProt
Version: 0.0.1
Filename: bio_embeddings_CPCProt-0.0.1-py3-none-any.whl
Download: [link]
Size: 29905
MD5: 644b798efc679b2f69e954f7f84d4c65
SHA256: a6ce9db8f11aee595742445e60f6cd636eca9ecafed508b64e6bfe04cb5305fa
Uploaded: 2020-12-23 20:21:45 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: bio-embeddings-CPCProt
Version: 0.0.1
Summary: Parameter-efficient pretrained model for obtaining protein embeddings.
Author: Amy Lu
Author-Email: amyxlu[at]cs.toronto.edu
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Requires-Python: >=3.6
Requires-Dist: numpy (<2.0,>=1.19)
Requires-Dist: torch (<2.0,>=1.0)
Requires-Dist: lmdb (<2.0,>=1.0)
Requires-Dist: bio-embeddings-tape-proteins (<=1.0,>=0.4)
Requires-Dist: scipy (<2.0,>=1.5)
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.35.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
CPCProt/__init__.py sha256=9qvDIvX1ArAiHP1e-wktDzqHY_Xw4NN-pA5DCuGha14 126
CPCProt/collate_fn.py sha256=8A_hvlUEGhd38b54aRBwj_2IxnsbakSQqF9xX-nbeDY 2001
CPCProt/dataset.py sha256=jivCGrc_dz0uBgvGDX69KI_5kVd8d2JiicxS6STQjtM 4052
CPCProt/evaluate.py sha256=i4VU1AqQ9i_5M_XPQeGDGyLP9U1hzeeHv_Biox9jYeU 62
CPCProt/finetune.py sha256=dOOMR6YfwlBeuBji7JdOv1KGYFY0kDQ38-L_n6k_vBs 259
CPCProt/finetune_simple.py sha256=_hKs3BMLySBHQe_A6rBDIaFx6T-e9IkoboMuncyvur4 7375
CPCProt/pretrain.py sha256=7V0Pj9ieC4cNJ1drRIdfKMCjHWorxbBuXAlw_NdhAaU 10380
CPCProt/schedulers.py sha256=9zM9lnxl35zkWqYiy8_bihlsd1S-VdxvZXTtcpQLo_s 3501
CPCProt/tokenizer.py sha256=FmchAJZ88yu1f2u0-cvcvTn0HHa3N9BAMlpoF5Jpef0 2751
CPCProt/utils.py sha256=KrNCLMuJkejEvAJPFYpj3jAKKWXf9HcEp6_ISk0wMxQ 9746
CPCProt/validation.py sha256=gX6Z4au0Euh07fMlC_BTQ76luvlgSTXbdqibx6YYQh0 9330
CPCProt/model/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
CPCProt/model/autoregressor.py sha256=E-U8aCcQUQJtcmCCs87DITefPNYT3R-_qCHaqMcVI1Y 4385
CPCProt/model/base_config.py sha256=pbCE9r8gE-pIELcEiR3PhZ63oriP6rnkzofEYX-V5us 548
CPCProt/model/cpcprot.py sha256=B16NBsIHOeq5sqqASfOTiJEQ_H-MIBQJL6G1wnGF0pI 5636
CPCProt/model/critics.py sha256=bChDLgftbNOvEaX6ACl06gYK8HiKrhCSZ6pICXjjc8s 119
CPCProt/model/encoder.py sha256=JLJ43lh_xtwcg_wUULHeLtpqcajmxNzjYwspgA8CtFA 7666
CPCProt/model/heads.py sha256=I2NOKx6_GyqLDbc_8R8TZFu3vWzbh3kmhQ1EifRanAE 8750
CPCProt/model/losses.py sha256=D-K6cihBNKfD-XgUEqlJANG-jYHXd0wu88ffWsC0_t4 5100
bio_embeddings_CPCProt-0.0.1.dist-info/METADATA sha256=QORDiNHRWktFunzYLqKoc-5_Gmu4ZLsqCHsSh9iqWWw 625
bio_embeddings_CPCProt-0.0.1.dist-info/WHEEL sha256=EVRjI69F5qVjm_YgqcTXPnTAv3BfSUr0WVAHuSP3Xoo 92
bio_embeddings_CPCProt-0.0.1.dist-info/top_level.txt sha256=K0_RfpYnI-3Mo-I3e2IL4bjGkn7pS0y385o_CRN6l3M 8
bio_embeddings_CPCProt-0.0.1.dist-info/RECORD — —

top_level.txt

CPCProt